Fluorescent Cell Tracker
Fluorescent Cell Tracker - Related Videos
05:48
How to Build a Dichoptic Presentation System That Includes an Eye Tracker
0 Views •
Cited by 13 •
2017
We recently proposed a method that allows dichoptic visual stimulus presentation and binocular eye tracking simultaneously1. The key is the combination of an infrared eye tracker and the corresponding infrared-transparent mirrors. This manuscript provides an in depth protocol for initial setup and everyday operation.
12:39
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
0 Views •
Cited by 8 •
2020
Using multimodal sensors is a promising way to understand the role of social interactions in educational settings. This paper describes a methodology for capturing joint visual attention from colocated dyads using mobile eye-trackers.
13:08
Visualizing Cell-to-cell Transfer of HIV using Fluorescent Clones of HIV and Live Confocal Microscopy
0 Views •
Cited by 4 •
2010
This visualized experiment is a guide for utilizing a fluorescent molecular clone of HIV for live confocal imaging experiments.
05:02
Cell Electrofusion Visualized with Fluorescence Microscopy
0 Views •
Cited by 11 •
2010
In this video we demonstrate efficient electrofusion of cells in vitro by means of modified adherence method using electroporation and the subsequent detection of fused cells visualization with fluorescence microscopy.
06:42
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
0 Views •
Cited by 32 •
2013
We review our recent results on the integration of fluorescent microscopy and imaging flow cytometry tools on a cell-phone using compact and cost-effective opto-fluidic attachments. These cell-phone based micro-analysis devices might be useful for cytometric analysis, such as performing various cell counting tasks as well as for high-throughput screening of e.g., water samples in resource limited settings.
FAQs
The dye is initially cell-permeant, allowing it to cross the cell boundary. Once inside, intracellular enzymes convert it into a charged fluorescent product. That charge helps the product remain within the labeled cell rather than behaving like the original dye. This biochemical conversion is central to retaining a trackable signal during longitudinal observation of cancer-cell behavior.
As labeled cells divide, the fluorescent signal is progressively diluted between daughter cells. Researchers can therefore use changing fluorescence over time as a readout associated with cell proliferation, rather than treating fluorescence as a fixed marker. In cancer studies, this makes the label useful for comparing growth patterns among tumor cells or assessing how treatment changes proliferation.
Repeated observation provides time-resolved information about how cell behavior changes during cancer progression or treatment. Instead of showing only a final state, the record can help characterize movement, proliferation, survival, and interactions with immune or stromal cells. This temporal perspective supports comparisons of untreated and treated conditions and reveals changes that an endpoint measurement could miss.
A common workflow begins by exposing living cells to a cell-permeant fluorescent dye. Intracellular enzymes then convert the dye into a charged fluorescent product that remains inside the cells. Researchers follow the labeled population over time, observing fluorescence as cells migrate, divide, survive, or interact with other cell types in culture or experimental models.
By marking living tumor cells, researchers can follow their behavior in relation to immune or stromal cells. Time-resolved observations may show whether tumor cells remain viable, proliferate, or move while these interactions occur. Applying the approach in culture and experimental models helps connect cell-level behavior with broader questions about the tumor environment.
Researchers can compare labeled cancer cells over time before and after treatment, examining changes in proliferation, survival, migration, and tumor growth. The resulting patterns help characterize how a therapy affects cancer-cell behavior rather than relying only on a final measurement. In experimental models, this information can also support analysis of altered tumor dissemination.